The smallest sample size for the desired diagnosis accuracy A Floares, M Ferisgan, D Onita, A Ciuparu, GA Calin, FB Manolache Int J Oncol Cancer Ther 2 (13-19), 6, 2017 | 34 | 2017 |
Defect detection in porcelain industry based on deep learning techniques A Birlutiu, A Burlacu, M Kadar, D Onita 2017 19th International Symposium on Symbolic and Numeric Algorithms for …, 2017 | 26 | 2017 |
From image to text in sentiment analysis via regression and deep learning D Onita, LP Dinu, A Birlutiu Proceedings of the International Conference on Recent Advances in Natural …, 2019 | 13 | 2019 |
Towards mapping images to text using deep-learning architectures D Onita, A Birlutiu, LP Dinu Mathematics 8 (9), 1606, 2020 | 9 | 2020 |
A deep CNN for image analytics in automated manufacturing process control M Kadar, D Onita 2019 11th International Conference on Electronics, Computers and Artificial …, 2019 | 9 | 2019 |
Active learning based on transfer learning techniques for text classification D Onita IEEE Access 11, 28751-28761, 2023 | 7 | 2023 |
Quality control in porcelain industry based on computer vision techniques D Onita, N Vartan, M Kadar, A Birlutiu 2018 International Young Engineers Forum (YEF-ECE), 79-84, 2018 | 5 | 2018 |
Agent for Preprocessing and Forecasting Time-Series Data MV Muntean, D Oniţa 2018 10th International Conference on Electronics, Computers and Artificial …, 2018 | 2 | 2018 |
Active Learning based on Transfer Learning Techniques for Image Classification. D Onita, A Birlutiu ESANN, 2018 | 1 | 2018 |
Prediction of defects using machine learning techniques in order to improve quality management system–A case study A Sârb, CB Udrea, D Nagy–Oniţa, L Itul, M Popa MATEC Web of Conferences 343, 05010, 2021 | | 2021 |
ÎNVĂȚAREA AUTOMATĂ ACTIVĂ ȘI ÎNVĂȚAREA AUTOMATĂ PRIN TRANSFER APLICATE ÎN ANALIZA IMAGINILOR MEDICALE D Onița, A Furdui, CEDP Marțian, A Bîrluțiu | | |
YEF-ECE 2018 author index A Mekhaldi, A Marquez, A Birlutiu, AS Carvalho, A Mehrbod, A Bento, ... | | |